Data is vital for companies. The effective collection of data, its storage, integration with other data and eventually analysis play a huge role in increasing the revenues of the companies and reducing their costs.

That's why data-driven companies need advanced service solutions to manage and analyze large volumes of data. These systems must be reliable, performant, and flexible enough to support a wide variety of data types. Accordingly, companies' requirements go far beyond the capabilities of any traditional database. This is where the data warehouse comes into play.

What is Data Warehouse?

A data warehouse is a large-capacity system that sits on top of multiple databases and is used to store and report data.

Data is typically fed from multiple systems, then moved to the data warehouse for long-term storage and analysis. This data is then used for analysis.

Data warehouses work to create a single, unified system of truth for the entire organization.

How is Data Warehousing Made?

A data warehouse is useful in providing more insight into a company's performance by comparing data from multiple sources.

The raw data collected, once compiled, goes through a process of data cleaning, scanning for errors in the data, and correcting or excluding any errors found.

The optimized data is then converted from a database format to a storage format. Once stored, they go through processes such as sorting, consolidating, summarizing to make them more coordinated and easier to use.

All these operations are called ETL (Extract, Transform, Load).

Prepared data does not change and cannot be changed later, because a data warehouse runs analytics on events that have already occurred, focusing on changes in data over time. Stored data should be stored in a secure, reliable, easy to retrieve and manage manner.

Why Use Data Warehouse?

Receiving, processing and storing all the data we mentioned above is a very difficult process. Despite this challenge, there are certain reasons why companies invest in data warehouses.

Instead of collecting and analyzing data from multiple sources each time, companies create a single access point for all data.

Data warehouses ensure data quality and reliability after cleaning this data in the ways we have mentioned above and making it usable.

Since the entire history of the relevant data is stored in the data warehouses, it is possible to produce extremely comprehensive analyzes and reports that are very important for companies.